Procesamiento de Señales e Imagenes

Ingeniería Biomédica

Ph.D. Pablo Eduardo Caicedo Rodríguez

2025-09-07

Procesado de Señales e Imágenes Médicas - PSIM

Introduction

  • Data acquisition is to capture the signal and encode in a form suitable for computer processing.
  • Signal conditioning is to remove noise and artifacts from the signal.
  • Feature extraction is to extract relevant information from the signal.
  • Hypothesis testing is to test the hypothesis based on the extracted features.

Signal condtioning

Signal conditioning

data  = sio.loadmat(path_ecg+"/JS00001.mat")
print(type(data))
<class 'dict'>
print(data.keys())
dict_keys(['val'])
print(type(data['val']))
<class 'numpy.ndarray'>
print(data['val'].shape)
(12, 5000)

Signal conditioning